Evidence vs Apache Superset

Evidence is an open-source business intelligence framework built around the idea of BI as code. Analysts write reports as Markdown files with embedded SQL queries and ready-made components for charts, tables and big numbers, and Evidence builds them into a fast static website. The project is MIT licensed and backed by a venture-funded company that also runs a hosted service.

Evidence connects to common warehouses and databases including Snowflake, BigQuery, Databricks, Redshift, Postgres, MySQL and DuckDB, as well as CSV files. Query results are cached and processed in the browser with DuckDB, so pages stay quick once built. Templated pages generate one report per customer, region or product from a single file, loops and conditionals add logic, and everything lives in git, so changes go through pull requests and code review. The open-source framework is free to self-host; Evidence Cloud adds managed builds, hosting, scheduled refreshes and authentication.

Evidence fits data teams that already think in SQL and git and want polished, reproducible reports such as board packs, KPI sites or customer-facing data pages. It is not a self-serve tool for business users who want to drag fields onto a chart. Metabase and Looker Studio are better for ad hoc exploration, Lightdash builds BI directly on dbt models, and Observable Framework is the closest alternative for code-first data apps with more JavaScript flexibility.

Apache Superset is an open-source data exploration and visualization platform, originally created at Airbnb by Maxime Beauchemin in 2015 and graduated to a top-level project of the Apache Software Foundation in 2021. It is used by data teams at many large companies as a self-hosted alternative to commercial business intelligence tools, and Preset, a company founded by Superset's creator, offers it as a managed cloud service.

Superset connects to almost any SQL-speaking database through SQLAlchemy, including PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, ClickHouse, Druid, Trino and Databricks. Analysts can write queries in SQL Lab, a browser-based SQL IDE, or use the no-code chart builder with more than 40 visualization types, from tables and time series to maps and Sankey diagrams. Charts are combined into interactive dashboards with cross-filters and native filters. A lightweight semantic layer defines datasets, metrics and calculated columns, and role-based access control, row-level security, caching, alerts and reports support production use. The software itself is free under the Apache 2.0 license; costs come from infrastructure and engineering time, or from Preset's paid plans.

Superset fits organizations with data engineers who want scalable, vendor-neutral BI without per-user licenses. Setup, upgrades and security configuration require technical skills, and the interface is less approachable for business users. Metabase is easier for non-technical teams, Looker and Power BI offer stronger governed modeling with commercial support.